Seminar paper from the year 2006 in the subject English Language and Literature Studies - Linguistics, grade: keine, LMU Munich (Department für Anglistik und Amerikanistik), course: Internet Communication, language: English, abstract: The communication by email has become one of the most important means of communication in cooperate and private. An internet user is constantly confronted by mass emails containing undesired information. Spam, defined as bulk unsolicited emailing, generally commercial in nature, and predominately fraudulent. Spam causes high charges and damages. Nucleus Research announced that the spam epidemic is costing US businesses $712 per employee each year in lost worker productivity. As a result, users are spending 16 seconds identifying and deleting each spam e-mail, which translates into an annual cost of $70 bln to all US businesses. Looking at the total e-mail traffic, Nucleus estimates that at least 90% of e-mail reaching corporate servers is spam. The average user receives 21 spam messages to their inbox each day. (Moskalyuk 2007) Regardless of the inefficient time spent, there are further costs caused by spam, such as (cf Filterpoint 2008): · Deleted emails remain stored in the trash folder. · Higher storage costs through higher server expenses. · Higher bandwith essential to store the spam mails. · Time spent by IT staff for anti-spam measures. · Recovery costs after a virus attack. Various experts provide a spam calculator that enables to determine the approximate annual costs for an enterprise created by spam. (Gibbs 2003, Commtouch 2007) The calculator introduced by Gibbs differentiates productivity, connectivity, storage and support costs. This Spam Cost Analysis Model can be found in appendix 1 of this work. In this work different types of spam in general and in specific will be pointed out and characterized. Measures against unsolicited emails will be reviewed. First I start with the definition of spam and where it comes from, followed with the spam history. Then I briefly list the most common categories and variants of spam used. The next step will be the revision of a present situation captured by Commtouch and Symantec, as well as statistics on the information learned through spam monitoring during the last few months, with the examples of its usage. I conclude with an overview of spam solutions offered and point out further research topics in the area.

This book is a study of the causes of spam, the behaviors associated to the generation of and the exposure to spam, as well as the protection strategies. The new behaviors associated to electronic communications are identified and commented. Have you ever felt overwhelmed by the number of e-mail and textual messages in your inbox, be it on your laptop, your Smartphone or your PC? This book should help you in finding a wealth of answers, tools and tactics to better surf the ICT wave in the professional environment, and develop proper protection strategies to mitigate your exposure to spam in any form.

This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.

Email Spam Filtering: A Systematic Review surveys current and proposed spam filtering techniques with particular emphasis on how well they work. The primary focus is on spam filtering in email, while similarities and differences with spam filtering in other communication and storage media - such as instant messaging and the Web - are addressed peripherally. Email Spam Filtering: A Systematic Review examines the definition of spam, the user's information requirements and the role of the spam filter as one component of a large and complex information universe. Well known methods are detailed sufficiently to make the exposition self-contained; however, the focus is on considerations unique to spam. Comparisons, wherever possible, use common evaluation measures and control for differences in experimental setup. Such comparisons are not easy, as benchmarks, measures and methods for evaluating spam filters are still evolving. The author surveys these efforts, their results and their limitations. In spite of recent advances in evaluation methodology, many uncertainties (including widely held but unsubstantiated beliefs) remain as to the effectiveness of spam filtering techniques and as to the validity of spam filter evaluation methods. Email Spam Filtering: A Systematic Review outlines several uncertainties and proposes experimental methods to address them. Email Spam Filtering: A Systematic Review is a highly recommended read for anyone conducting research in the area or charged with controlling spam in a corporate environment.

What Is Email Spam Email spam, also known as junk email, spam mail, or just spam, is the practice of sending unsolicited communications in large quantities via email (also known as spamming). The name originates from a sketch that was performed by Monty Python, in which the name of a canned pork product was parodied. Spam is widespread, unavoidable, and repeated. Since the early 1990s, spam in email has been gradually increasing, and by 2014, it was estimated that it accounted for approximately 90% of all overall email traffic. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Email Spam Chapter 2: Email Chapter 3: Spamming Chapter 4: Anti-spam Techniques Chapter 5: Email Filtering Chapter 6: Sender Policy Framework Chapter 7: Domain Name System Blocklist Chapter 8: The Spamhaus Project Chapter 9: History of Email Spam Chapter 10: Email-address Harvesting (II) Answering the public top questions about email spam. (III) Real world examples for the usage of email spam in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of email spam' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of email spam.

Recommends a range of policies and measures that should be key elements of a comprehensive public policy framework for addressing the problem of spam.

Email communication is encumbered with a mass of email messages which their recipients have neither requested nor require. Even worse, the impacts of these messages are far from being simply an annoyance, as they also involve economic damage. This manuscript examines the resource quot;email addressesquot;, which is vital for any potential bulk mailer and spammer. Both a methodology and a honeypot conceptualization for implementing an empirical analysis of the usage of email addresses placed on the Internet are proposed here. Their objective is to assess, on a quantitative basis, the extent of the current harassment and its development over time. This quot;frameworkquot; is intended to be extensible to measuring the effectiveness of address-obscuring techniques. The implementation of a pilot honeypot is described, which led to key findings, some of them being: (1) Web placements attract more than two-thirds (70%) of all honeypot spam emails, followed by newsgroup placements (28.6%) and newsletter subscriptions (1.4%), (2) the proportions of spam relating to the email addresses' top-level domain can be statistically assumed to be uniformly distributed, (3) More than 43% of addresses on the web have been abused, whereas about 27% was the case for addresses on newsgroups and only about 4% was the case for addresses used for a newsletter subscription, (4) Regarding the development of email addresses' attractiveness for spammers over time, the service quot;web sitesquot; features a negative linear relationship, whereas the service quot;Usenetquot; shows a negative exponential relationship. (5) Only 1.54% of the spam emails showed an interrelation between the topic of the spam email and that of the location where the recipient's address was placed, so that spammers are assumed to send their emails in a quot;context insensitivequot; manner. The results of the empirical analysis motivate the need for the protection of email addresses through obscuration. We analyze this need by formulating requirements for address obscuring techniques and we reveal to which extent today's most relevant approaches fulfill these requirements.